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1.
本文提出了一种成象光谱数据处理的新方法──有限光谱混合分析方法CSMA(ConstrainedSpectralMixtureAnalysis),该方法将图象中每一象素看作多种类别地物的混合,利用成象光谱仪各波段反射值计算各个类别所占的比例,这是一个求解混合光谱方程最优解的过程。本文提出的有限光谱混合分析方法是在约束条件下求混合光谱方程的最优解,并提出了快速算法。该方法可以得到比传统遥感分类更有意义的结果,使遥感技术更趋于定量化、实用化。  相似文献   

2.
根据高光谱分辨率的航空成像光谱(MAIS)和热红外多光谱(TIMS)图像数据中遥感信息特点,即可从其数据获得成像地物光谱,利用航空成像光谱图像处理和分析方法,可有效和精确地对地物特性进行识别和提取。此次以调查沉积岩地区地质地层单元、岩性识别为研究内容的中日联合遥感研究所采用的图像数据,是由中国科学院上海技术物理研究所新开发的MAIS和TIMS获取的。研究结果表明,利用计算机图像处理方法,对TIMS图像进行主成分分析(PC),MAIS的短波红外(SWIR)图像的假彩色合成图(FCC),以及可见近红外(VNIR)图像波段差值处理,可将研究区内出露的白云岩、灰岩以及红色砂岩、绿色砂岩等岩性识别出来,同时圈出了研究区内出露的各个时代的地层,证明了MAIS和TIMS在地质制图方面有较大的潜力。  相似文献   

3.
光谱角度填图方法及其在岩性识别中的应用   总被引:11,自引:0,他引:11  
光谱角度填图(SAM)是成像光谱图像处理技术中,对岩石矿物进行谱形识别的主要方法之一,但其应用效果并不十分理想。以内蒙古渣尔泰山为实验区,从岩石实验室反射光谱的相似系数聚类分析入手,研究了光谱角度填图方法的优劣,及其产生的原因。探讨了利用均值图像参与分类的处理方案,从而改善了光谱角度填图方法中易于产生“异类同谱”的不足,获得良好的岩性识别效果。  相似文献   

4.
湿地植被成象光谱遥感研究   总被引:56,自引:5,他引:56  
该文论述了成象光谱信息在鄱阳湖湿地进行植被光谱识别分类与生物量制图的部分研究结果,研究如何从高光谱分析图象上有效地定量提取植被生长物理参量以及湿植被类型识别,包括(1)基地多高度大气订正后的反射率图像获取;(2)导数光谱分析与生物量制图;(3)基于光谱波形匹配的湿地植被分类,识别。  相似文献   

5.
成像光谱矿物识别方法与识别模型评述   总被引:2,自引:4,他引:2  
矿物识别和矿物填图是成像光谱应用最成功的领域之一。本文将国内外发展的矿物识别模型归纳为光谱匹配和以知识为基础的智能识别两大类型进行讨论。对光谱匹配方法分别从其方法的分类、光谱相似性测度、整体光谱匹配算法、局部光谱识别、亚像元光谱识别、混合像元分解和矿物端元选择、光谱减维和噪声弱化等方面作了评述。最后,讨论了矿物识别和填图研究中存在的主要问题,指出研究建立全谱段矿物识别方法和技术体系将是今后光谱矿物识别和矿物填图的重要发展方向。  相似文献   

6.
MAIS成象光谱仪飞行定标和反射率反演   总被引:7,自引:0,他引:7  
该文利用6S辐射传礓模型设计了一种可对MAIS成象光谱仪进行飞行研究定标和反射率反演的方法,并分析了成象光谱图象反经反演过程中影响反演精度的各种因素。这种方法的特点是地面同步测量中只采用一台仪器,同时获得了参考地物的反射率,大气光学厚度和大气垂直柱水汽含量。  相似文献   

7.
高光谱遥感技术在地质领域中的应用   总被引:1,自引:0,他引:1  
近年来,高光谱应用技术在地质领域得到了深入的应用与发展,不仅深化了地质学的基础研究,也推动着遥感地质填图从岩 性填图向矿物填图的飞跃,推进了高光谱遥感技术在成矿预测、地质成生环境成因信息探测、植被地化信息与理化信息提取以及矿 山环境调查等应用的不断深入。本文围绕高光谱技术的特点,并结合作者近年来的工作实践,论述了高光谱技术在上述领域的实际 应用情况与应用效果。  相似文献   

8.
岩石实验室光谱对应分析   总被引:11,自引:0,他引:11  
成像光谱图像具有几十个窄波段和高的光谱分辨率,使直接识别岩石岩性成为可能,但其海量数据又为数据的处理、分析和应用带来了不便。因此就需要寻求一种在不损失信息或最大限度保持原有信息的前提下又压缩或最小化数据量的方法。在对岩石实验室光谱按成像光谱仪(MAIS)通道重采样后,应用了一种特征信息提取的方法(对应分析法),对岩石光谱进行了分析,达到了压缩数据与岩石分类的目的,同时也探讨了其处理大数据量成像光谱图像数据的意义  相似文献   

9.
MISR计划于1998年搭载EOS的AM1平台发射升空。目前我们利用仿真数据和现在已有的机载ASAS多角度数据来测试分析MISR数据所需要的算法。MISR数据的处理可以分为3个主要的顺序执行的阶段。第一阶段的作用是提取景上空的必要的大气特性。第一阶段处理的结果可以被第二阶段用来一个象素一个象素地从景中提取表面光谱HDRF。最后,在第三阶段中,第二阶段获得的HRDF被用来对一个3参数BRF模型进行线性化,以便提取对应的BRF。我们给出了基于仿真MISR数据的提取算法的结果。  相似文献   

10.
高光谱矿物填图技术与应用研究   总被引:11,自引:0,他引:11  
回顾和总结了"九五"以来,中国国土资源航空物探遥感中心在高光谱矿物识别和矿物填图领域所取得的成果,包括主要岩矿光谱特征与影响因素分析;矿物的种类识别、丰度反演和成分识别;中—热红外多/高光谱的数据处理和矿物识别;高光谱矿物识别的地质应用模式、矿物填图的工作方法和技术流程、矿物填图的技术体系;矿物填图在区域地质找矿、矿区勘查和成矿与找矿模型、植物地球化学探测、矿山环境监测以及月球和行星探测等方面的应用示范。最后,提出了高光谱矿物填图近期的研究方向。  相似文献   

11.
利用CBERS-1 CCD数据进行地质矿产信息提取方法研究   总被引:6,自引:2,他引:6  
选择我国西南天山霍什布拉克铅锌、金和吉根金、铜找矿有利区,利用中巴地球资源一号卫星CCD数据,通过对提取地层、岩体和矿化蚀变等地质矿产信息的处理方法进行研究,探索资源一号卫星CCD数据在基础地质调查方面的实用性,从而为中巴地球资源卫星CCD数据用于类似地区地质矿产信息的提取起到示范作用。  相似文献   

12.
Bauxite deposits of Jharkhand in India are resulted from the lateritization process and therefore are often associated with the laterites. In the present study, ASTER (Advanced Space borne Thermal Emission and Reflection Radiometer) image is processed to delineate bauxite rich pockets within the laterites. In this regard, spectral signatures of lateritic bauxite samples are analyzed in the laboratory with reference to the spectral features of gibbsite (main mineral constituent of bauxite) and goethite (main mineral constituent of laterite) in VNIR–SWIR (visible-near infrared and short wave infrared) electromagnetic domain. The analysis of spectral signatures of lateritic bauxite samples helps in understanding the differences in the spectral features of bauxites and laterites. Based on these differences; ASTER data based relative band depth and simple ratio images are derived for spatial mapping of the bauxites developed within the lateritic province. In order to integrate the complementary information of different index image, an index based principal component (IPC) image is derived to incorporate the correlative information of these indices to delineate bauxite rich pockets. The occurrences of bauxite rich pockets derived from density sliced IPC image are further delimited by the topographic controls as it has been observed that the major bauxite occurrences of the area are controlled by slope and altitude. In addition to above, IPC image is draped over the digital elevation model (DEM) to illustrate how bauxite rich pockets are distributed with reference to the topographic variability of the terrain. Bauxite rich pockets delineated in the IPC image are also validated based on the known mine occurrences and existing geological map of the bauxite. It is also conceptually validated based on the spectral similarity of the bauxite pixels delineated in the IPC image with the ASTER convolved laboratory spectra of bauxite samples.  相似文献   

13.
高光谱吸收特征参数反演草地光合有效辐射吸收率   总被引:1,自引:0,他引:1  
在植被光合有效辐射吸收率(FAPAR)遥感估算中被广泛采用的植被指数法,其估算精度往往受到"红波段吸收峰"峰值点光谱反射率易饱和特征的影响。考虑到高光谱吸收特征参数能较好地诠释地物光谱吸收特征的细节信息,基于微分法与包络线去除法研发"高光谱曲线特征吸收峰自动识别法"识别对FAPAR敏感的特征吸收峰,再结合连续统去除法以及光谱吸收指数(SAI)提取FAPAR的高光谱吸收特征参数,构建估算天然草地冠层水平FAPAR的高光谱吸收特征参数模型。结果表明:(1)天然草地冠层FAPAR与高光谱吸收特征参数具有很好的相关性,其中,"红波段吸收峰"SAI对FAPAR变化最为敏感,在植被覆盖度较高时,其饱和性相比"红波段吸收峰"峰值点反射率与归一化植被(NDVI)值有较大的提升。(2)以"红波段吸收峰"SAI为变量的对数方程为FAPAR的最佳估算模型,在植被覆盖度处于中与高时,其FAPAR预测精度比NDVI模型有不同程度的提高。研究采用的高光谱吸收特征参数一定程度上弥补了部分植被指数因饱和问题在估算FAPAR时的不足,可作为植被FAPAR反演的新参数,适用于中、高覆盖度的天然草地FAPAR监测。  相似文献   

14.
火星表面含水矿物探测进展   总被引:1,自引:0,他引:1  
芶盛  岳宗玉  邸凯昌  张霞 《遥感学报》2017,21(4):531-548
火星表面含水矿物类型识别和空间分布特征研究对圈定火星表面生命活动有利区域和探索可能存在的火星生命形式具有重要科学意义。本文总结了20世纪90年代以来火星表面含水矿物的探测进展,从火星轨道器光谱仪遥感探测、着陆器和巡视器就位探测两方面介绍了矿物探测使用的数据源,重点阐述了目前火星表面已经探测到的各类含水硅酸盐矿物、硫酸盐矿物、碳酸盐矿物、氯盐及高氯酸盐矿物等含水矿物的光谱特征、矿物具体类别及分布特征,分析了火星表面含水矿物定量反演的主要方法与地质意义。最后从比较行星学角度倡议开展地球和火星含水矿物形成环境和形成过程的类比研究。  相似文献   

15.
Hyperspectral remote sensing/imaging spectroscopy has enabled precise identification and mapping of hydrothermal alteration mineral assemblages based on diagnostic absorption features of minerals. In the present study, we use Airborne Visible InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG) datasets acquired over Rishabdev ultramafic suite to derive surficial mineral map using least square based spectral shape matching in wavelength range of diagnostic absorption features of minerals. Resulting mineral map revealed presence of hydrothermally altered serpentine group of minerals and associated alteration products (talc and dolomite) along with clays and phyllosilicates. Mineral maps are validated using field spectral measurements and published geological map. Involvement of low temperature (<350 °C) hydrothermal fluid in serpentinization of ultramafic rocks in the region is inferred from analysis of deepest absorption features of muscovites at 2.20 μm, spectral abundance of lizardite and absence of prenhite-pumpyllite facies mineral assemblages. Talc was found to be the most common alteration product of serpentines followed by dolomites. Intense alteration of serpentines to talc along the fracture zone is attributed to the circulation of carbon dioxide rich hydrothermal fluids along these conduits. Kaolinite and halloysite are primarily associated with granites and are the result of hydrothermal alteration of plagioclase feldspar in granites while muscovite and illites are generally associated with phyllites and quartzites . The study demonstrates the potential of imaging spectroscopy for mapping hydrothermal alteration mineral assemblages in ultramafic complex.  相似文献   

16.
Although alteration minerals related to metallogenesis is very important in mineral exploration, information of alteration mineral is weakly expressed in remote sensing imagery, which is often subject to interfering noise and sometimes limited in spectral and spatial resolutions. Because of easy access, moderate images are the main sources of alteration mineral information. Therefore, it is very important to develop alteration mineral information extraction methods from remote sensing images. In this paper, a combined method based on Mask, principal component analysis (PCA) and support vector machine method (SVM) was used to extract alteration mineral information from Enhanced thematic mapper plus remote sensing data with limited spectral and spatial resolutions. First, a mask image of the remote sensing imagery was created to remove interference information such as vegetation, shadow and water. Then, PCA was employed to collect sample data relating to iron, argillic, and carbonatization alteration. Finally, SVM was used to deal with alteration anomaly and build a feature extraction model of high accuracy. The Mask-PCA-SVM model is used to extract alteration mineral information from remote sensing images of Hatu area, Xinjiang Uygur Autonomous Regions, China. The results show that the new methods proposed in this paper can coincide well with known deposits occurrences, rate reached 86.51%. While, the consistent rate with known deposits of the ratio model, PCA model and Spectral angle mapper model were only 3.37, 65.08 and 69.05% respectively. This suggests that the proposed model can find the actual distribution of mineral deposits more effectively by reducing interference to a greater degree.  相似文献   

17.
矿物光谱指数是利用比值的方法增强Fe和含OH矿物在可见光、短波红外区间的吸收特征,进而提取蚀变矿物信息的一种方法。由于斑岩型矿床的蚀变分带特征明显,西藏多龙矿集区中集中了斑岩型、浅成低温热液型等铜、金矿床,通过矿物光谱指数的计算提取相关蚀变信息,对该区域的下一步找矿具有指导意义。本文采用矿物光谱指数(5+7)/6、(6+9)/8等方法提取了镁、铝两类羟基及铝羟基类下的高岭石等蚀变信息,采用5/4、2/1的方法提取了二价铁、三价铁的蚀变信息。经过与OLI影像采用PCA方法及野外实地勘查采样,证实了利用本文方法所提取的蚀变信息有效。  相似文献   

18.
江苏近海岸水深遥感研究   总被引:8,自引:0,他引:8  
以江苏近海辐射沙脊群海域为典型研究区,通过实测水深数据和水体光谱测量与分析,发现对应TM3和TM4波段的水体光谱反射率对水深信息敏感,线性相关系数分别达到-0.561和-0.694。结合多光谱遥感信息传输方程所推导出的水深信息对数反演模式,针对本研究区TM4和TM3波段数据所建立的水深预测模式的复相关系数R2为0.4793,对0-15m水深,预测水深和实测水深之间拟合较好。利用TM5波段反射率、出露沙洲反射率以及海水反射率的差异,通过建立掩膜图像,可较有效地对TM遥感图像进行水陆分离,提取TM图像中海水部分,进一步可通过常用的图像处理软件绘制每隔5m的TM水深遥感制图、等深线图。随着高空间、高光谱、高辐射分辨率遥感技术的发展,对浅海水域的水深和水下地形进行遥感探测的技术方法和应用将会不断地深入开展。  相似文献   

19.
Mineral mapping is an important step for the development and utilization of mineral resources. The emergence of remote sensing technology, especially hyperspectral imagery, has paved a new approach to geological mapping. The k-means clustering algorithm is a classical approach to classifying hyperspectral imagery, but the influence of mixed pixels and noise mean that it usually has poor mineral mapping accuracy. In this study, the mapping accuracy of the k-means algorithm was improved in three ways: similarity measurement methods that are insensitive to dimensions are used instead of the Euclidean distance for clustering; the spectral absorption features of minerals are enhanced; and the mineral mapping results are combined as the number of cluster centers (K) is incremented from 1. The improved algorithm is used with combined spectral matching to match the clustering results with a spectral library. A case study on Cuprite, Nevada, demonstrated that the improved k-means algorithm can identify most minerals with the kappa value of over 0.8, which is 46% and 15% higher than the traditional k-means and spectral matching technology. New mineral types are more likely to be found with increasing K. When K is much greater than the number of mineral types, the accuracy is improved, and the mineral mapping results are independent of the similarity measurement method. The improved k-means algorithm can also effectively remove speckle noise from the mineral mapping results and be used to identify other objects.  相似文献   

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